
- •Java Concurrency
- •In Practice
- •Listing and Image Index
- •Preface
- •How to Use this Book
- •Code Examples
- •Listing 1. Bad Way to Sort a List. Don't Do this.
- •Listing 2. Less than Optimal Way to Sort a List.
- •Acknowledgments
- •1.1. A (Very) Brief History of Concurrency
- •1.2. Benefits of Threads
- •1.2.1. Exploiting Multiple Processors
- •1.2.2. Simplicity of Modeling
- •1.2.3. Simplified Handling of Asynchronous Events
- •1.2.4. More Responsive User Interfaces
- •1.3. Risks of Threads
- •1.3.1. Safety Hazards
- •Figure 1.1. Unlucky Execution of UnsafeSequence.Nextvalue.
- •1.3.2. Liveness Hazards
- •1.3.3. Performance Hazards
- •1.4. Threads are Everywhere
- •Part I: Fundamentals
- •Chapter 2. Thread Safety
- •2.1. What is Thread Safety?
- •2.1.1. Example: A Stateless Servlet
- •Listing 2.1. A Stateless Servlet.
- •2.2. Atomicity
- •Listing 2.2. Servlet that Counts Requests without the Necessary Synchronization. Don't Do this.
- •2.2.1. Race Conditions
- •2.2.2. Example: Race Conditions in Lazy Initialization
- •Listing 2.3. Race Condition in Lazy Initialization. Don't Do this.
- •2.2.3. Compound Actions
- •Listing 2.4. Servlet that Counts Requests Using AtomicLong.
- •2.3. Locking
- •Listing 2.5. Servlet that Attempts to Cache its Last Result without Adequate Atomicity. Don't Do this.
- •2.3.1. Intrinsic Locks
- •Listing 2.6. Servlet that Caches Last Result, But with Unacceptably Poor Concurrency. Don't Do this.
- •2.3.2. Reentrancy
- •Listing 2.7. Code that would Deadlock if Intrinsic Locks were Not Reentrant.
- •2.4. Guarding State with Locks
- •2.5. Liveness and Performance
- •Figure 2.1. Poor Concurrency of SynchronizedFactorizer.
- •Listing 2.8. Servlet that Caches its Last Request and Result.
- •Chapter 3. Sharing Objects
- •3.1. Visibility
- •Listing 3.1. Sharing Variables without Synchronization. Don't Do this.
- •3.1.1. Stale Data
- •3.1.3. Locking and Visibility
- •Figure 3.1. Visibility Guarantees for Synchronization.
- •3.1.4. Volatile Variables
- •Listing 3.4. Counting Sheep.
- •3.2. Publication and Escape
- •Listing 3.5. Publishing an Object.
- •Listing 3.6. Allowing Internal Mutable State to Escape. Don't Do this.
- •Listing 3.7. Implicitly Allowing the this Reference to Escape. Don't Do this.
- •3.2.1. Safe Construction Practices
- •Listing 3.8. Using a Factory Method to Prevent the this Reference from Escaping During Construction.
- •3.3. Thread Confinement
- •3.3.2. Stack Confinement
- •Listing 3.9. Thread Confinement of Local Primitive and Reference Variables.
- •3.3.3. ThreadLocal
- •Listing 3.10. Using ThreadLocal to Ensure thread Confinement.
- •3.4. Immutability
- •Listing 3.11. Immutable Class Built Out of Mutable Underlying Objects.
- •3.4.1. Final Fields
- •3.4.2. Example: Using Volatile to Publish Immutable Objects
- •Listing 3.12. Immutable Holder for Caching a Number and its Factors.
- •3.5. Safe Publication
- •Listing 3.13. Caching the Last Result Using a Volatile Reference to an Immutable Holder Object.
- •Listing 3.14. Publishing an Object without Adequate Synchronization. Don't Do this.
- •3.5.1. Improper Publication: When Good Objects Go Bad
- •Listing 3.15. Class at Risk of Failure if Not Properly Published.
- •3.5.2. Immutable Objects and Initialization Safety
- •3.5.3. Safe Publication Idioms
- •3.5.4. Effectively Immutable Objects
- •3.5.5. Mutable Objects
- •3.5.6. Sharing Objects Safely
- •Chapter 4. Composing Objects
- •4.1.1. Gathering Synchronization Requirements
- •4.1.3. State Ownership
- •4.2. Instance Confinement
- •Listing 4.2. Using Confinement to Ensure Thread Safety.
- •4.2.1. The Java Monitor Pattern
- •Listing 4.3. Guarding State with a Private Lock.
- •4.2.2. Example: Tracking Fleet Vehicles
- •4.3. Delegating Thread Safety
- •Listing 4.5. Mutable Point Class Similar to Java.awt.Point.
- •4.3.1. Example: Vehicle Tracker Using Delegation
- •Listing 4.6. Immutable Point class used by DelegatingVehicleTracker.
- •Listing 4.7. Delegating Thread Safety to a ConcurrentHashMap.
- •Listing 4.8. Returning a Static Copy of the Location Set Instead of a "Live" One.
- •4.3.2. Independent State Variables
- •Listing 4.9. Delegating Thread Safety to Multiple Underlying State Variables.
- •4.3.3. When Delegation Fails
- •Listing 4.10. Number Range Class that does Not Sufficiently Protect Its Invariants. Don't Do this.
- •4.3.4. Publishing Underlying State Variables
- •4.3.5. Example: Vehicle Tracker that Publishes Its State
- •Listing 4.12. Vehicle Tracker that Safely Publishes Underlying State.
- •4.4.2. Composition
- •4.5. Documenting Synchronization Policies
- •4.5.1. Interpreting Vague Documentation
- •Chapter 5. Building Blocks
- •5.1. Synchronized Collections
- •5.1.1. Problems with Synchronized Collections
- •Listing 5.1. Compound Actions on a Vector that may Produce Confusing Results.
- •Figure 5.1. Interleaving of Getlast and Deletelast that throws ArrayIndexOutOfBoundsException.
- •Listing 5.3. Iteration that may Throw ArrayIndexOutOfBoundsException.
- •5.1.2. Iterators and Concurrentmodificationexception
- •Listing 5.5. Iterating a List with an Iterator.
- •5.1.3. Hidden Iterators
- •Listing 5.6. Iteration Hidden within String Concatenation. Don't Do this.
- •5.2. Concurrent Collections
- •5.2.1. ConcurrentHashMap
- •5.2.2. Additional Atomic Map Operations
- •5.2.3. CopyOnWriteArrayList
- •Listing 5.7. ConcurrentMap Interface.
- •5.3.1. Example: Desktop Search
- •5.3.2. Serial Thread Confinement
- •Listing 5.8. Producer and Consumer Tasks in a Desktop Search Application.
- •Listing 5.9. Starting the Desktop Search.
- •5.3.3. Deques and Work Stealing
- •5.4. Blocking and Interruptible Methods
- •Listing 5.10. Restoring the Interrupted Status so as Not to Swallow the Interrupt.
- •5.5. Synchronizers
- •5.5.1. Latches
- •5.5.2. FutureTask
- •Listing 5.11. Using CountDownLatch for Starting and Stopping Threads in Timing Tests.
- •Listing 5.12. Using FutureTask to Preload Data that is Needed Later.
- •Listing 5.13. Coercing an Unchecked Throwable to a RuntimeException.
- •5.5.3. Semaphores
- •5.5.4. Barriers
- •Listing 5.14. Using Semaphore to Bound a Collection.
- •5.6. Building an Efficient, Scalable Result Cache
- •Listing 5.16. Initial Cache Attempt Using HashMap and Synchronization.
- •Listing 5.17. Replacing HashMap with ConcurrentHashMap.
- •Figure 5.4. Unlucky Timing that could Cause Memorizer3 to Calculate the Same Value Twice.
- •Listing 5.18. Memorizing Wrapper Using FutureTask.
- •Listing 5.19. Final Implementation of Memorizer.
- •Listing 5.20. Factorizing Servlet that Caches Results Using Memorizer.
- •Summary of Part I
- •Part II: Structuring Concurrent Applications
- •Chapter 6. Task Execution
- •6.1. Executing Tasks in Threads
- •6.1.1. Executing Tasks Sequentially
- •Listing 6.1. Sequential Web Server.
- •6.1.2. Explicitly Creating Threads for Tasks
- •Listing 6.2. Web Server that Starts a New Thread for Each Request.
- •6.1.3. Disadvantages of Unbounded Thread Creation
- •6.2. The Executor Framework
- •Listing 6.3. Executor Interface.
- •6.2.1. Example: Web Server Using Executor
- •Listing 6.4. Web Server Using a Thread Pool.
- •Listing 6.5. Executor that Starts a New Thread for Each Task.
- •6.2.2. Execution Policies
- •Listing 6.6. Executor that Executes Tasks Synchronously in the Calling Thread.
- •6.2.3. Thread Pools
- •6.2.4. Executor Lifecycle
- •Listing 6.7. Lifecycle Methods in ExecutorService.
- •Listing 6.8. Web Server with Shutdown Support.
- •6.2.5. Delayed and Periodic Tasks
- •6.3. Finding Exploitable Parallelism
- •Listing 6.9. Class Illustrating Confusing Timer Behavior.
- •6.3.1. Example: Sequential Page Renderer
- •Listing 6.10. Rendering Page Elements Sequentially.
- •Listing 6.11. Callable and Future Interfaces.
- •Listing 6.12. Default Implementation of newTaskFor in ThreadPoolExecutor.
- •6.3.3. Example: Page Renderer with Future
- •6.3.4. Limitations of Parallelizing Heterogeneous Tasks
- •Listing 6.13. Waiting for Image Download with Future.
- •6.3.5. CompletionService: Executor Meets BlockingQueue
- •Listing 6.14. QueueingFuture Class Used By ExecutorCompletionService.
- •6.3.6. Example: Page Renderer with CompletionService
- •Listing 6.15. Using CompletionService to Render Page Elements as they Become Available.
- •6.3.7. Placing Time Limits on Tasks
- •6.3.8. Example: A Travel Reservations Portal
- •Listing 6.16. Fetching an Advertisement with a Time Budget.
- •Summary
- •Listing 6.17. Requesting Travel Quotes Under a Time Budget.
- •Chapter 7. Cancellation and Shutdown
- •7.1. Task Cancellation
- •Listing 7.1. Using a Volatile Field to Hold Cancellation State.
- •Listing 7.2. Generating a Second's Worth of Prime Numbers.
- •7.1.1. Interruption
- •Listing 7.3. Unreliable Cancellation that can Leave Producers Stuck in a Blocking Operation. Don't Do this.
- •Listing 7.4. Interruption Methods in Thread.
- •Listing 7.5. Using Interruption for Cancellation.
- •7.1.2. Interruption Policies
- •7.1.3. Responding to Interruption
- •Listing 7.6. Propagating InterruptedException to Callers.
- •7.1.4. Example: Timed Run
- •Listing 7.8. Scheduling an Interrupt on a Borrowed Thread. Don't Do this.
- •7.1.5. Cancellation Via Future
- •Listing 7.9. Interrupting a Task in a Dedicated Thread.
- •Listing 7.10. Cancelling a Task Using Future.
- •7.1.7. Encapsulating Nonstandard Cancellation with Newtaskfor
- •Listing 7.11. Encapsulating Nonstandard Cancellation in a Thread by Overriding Interrupt.
- •7.2.1. Example: A Logging Service
- •Listing 7.12. Encapsulating Nonstandard Cancellation in a Task with Newtaskfor.
- •Listing 7.14. Unreliable Way to Add Shutdown Support to the Logging Service.
- •7.2.2. ExecutorService Shutdown
- •Listing 7.15. Adding Reliable Cancellation to LogWriter.
- •Listing 7.16. Logging Service that Uses an ExecutorService.
- •7.2.3. Poison Pills
- •Listing 7.17. Shutdown with Poison Pill.
- •Listing 7.18. Producer Thread for IndexingService.
- •Listing 7.19. Consumer Thread for IndexingService.
- •Listing 7.20. Using a Private Executor Whose Lifetime is Bounded by a Method Call.
- •7.2.5. Limitations of Shutdownnow
- •Listing 7.21. ExecutorService that Keeps Track of Cancelled Tasks After Shutdown.
- •Listing 7.22. Using TRackingExecutorService to Save Unfinished Tasks for Later Execution.
- •7.3. Handling Abnormal Thread Termination
- •7.3.1. Uncaught Exception Handlers
- •Listing 7.24. UncaughtExceptionHandler Interface.
- •Listing 7.25. UncaughtExceptionHandler that Logs the Exception.
- •7.4. JVM Shutdown
- •7.4.1. Shutdown Hooks
- •Listing 7.26. Registering a Shutdown Hook to Stop the Logging Service.
- •7.4.2. Daemon Threads
- •7.4.3. Finalizers
- •Summary
- •Chapter 8. Applying Thread Pools
- •8.1. Implicit Couplings Between Tasks and Execution Policies
- •8.1.1. Thread Starvation Deadlock
- •8.2. Sizing Thread Pools
- •8.3. Configuring ThreadPoolExecutor
- •8.3.1. Thread Creation and Teardown
- •Listing 8.2. General Constructor for ThreadPoolExecutor.
- •8.3.2. Managing Queued Tasks
- •8.3.3. Saturation Policies
- •8.3.4. Thread Factories
- •Listing 8.4. Using a Semaphore to Throttle Task Submission.
- •Listing 8.5. ThreadFactory Interface.
- •Listing 8.6. Custom Thread Factory.
- •8.3.5. Customizing ThreadPoolExecutor After Construction
- •Listing 8.7. Custom Thread Base Class.
- •Listing 8.8. Modifying an Executor Created with the Standard Factories.
- •8.4. Extending ThreadPoolExecutor
- •8.4.1. Example: Adding Statistics to a Thread Pool
- •Listing 8.9. Thread Pool Extended with Logging and Timing.
- •8.5. Parallelizing Recursive Algorithms
- •Listing 8.10. Transforming Sequential Execution into Parallel Execution.
- •Listing 8.12. Waiting for Results to be Calculated in Parallel.
- •8.5.1. Example: A Puzzle Framework
- •Listing 8.13. Abstraction for Puzzles Like the "Sliding Blocks Puzzle".
- •Listing 8.14. Link Node for the Puzzle Solver Framework.
- •Listing 8.15. Sequential Puzzle Solver.
- •Listing 8.16. Concurrent Version of Puzzle Solver.
- •Listing 8.18. Solver that Recognizes when No Solution Exists.
- •Summary
- •Chapter 9. GUI Applications
- •9.1.1. Sequential Event Processing
- •9.1.2. Thread Confinement in Swing
- •Figure 9.1. Control Flow of a Simple Button Click.
- •Listing 9.1. Implementing SwingUtilities Using an Executor.
- •Listing 9.2. Executor Built Atop SwingUtilities.
- •Listing 9.3. Simple Event Listener.
- •Figure 9.2. Control Flow with Separate Model and View Objects.
- •9.3.1. Cancellation
- •9.3.2. Progress and Completion Indication
- •9.3.3. SwingWorker
- •9.4. Shared Data Models
- •Listing 9.7. Background Task Class Supporting Cancellation, Completion Notification, and Progress Notification.
- •9.4.2. Split Data Models
- •Summary
- •Part III: Liveness, Performance, and Testing
- •Chapter 10. Avoiding Liveness Hazards
- •10.1. Deadlock
- •Figure 10.1. Unlucky Timing in LeftRightDeadlock.
- •10.1.2. Dynamic Lock Order Deadlocks
- •Listing 10.3. Inducing a Lock Ordering to Avoid Deadlock.
- •Listing 10.4. Driver Loop that Induces Deadlock Under Typical Conditions.
- •10.1.3. Deadlocks Between Cooperating Objects
- •10.1.4. Open Calls
- •10.1.5. Resource Deadlocks
- •Listing 10.6. Using Open Calls to Avoiding Deadlock Between Cooperating Objects.
- •10.2. Avoiding and Diagnosing Deadlocks
- •10.2.1. Timed Lock Attempts
- •10.2.2. Deadlock Analysis with Thread Dumps
- •Listing 10.7. Portion of Thread Dump After Deadlock.
- •10.3. Other Liveness Hazards
- •10.3.1. Starvation
- •10.3.2. Poor Responsiveness
- •10.3.3. Livelock
- •Summary
- •Chapter 11. Performance and Scalability
- •11.1. Thinking about Performance
- •11.1.1. Performance Versus Scalability
- •11.1.2. Evaluating Performance Tradeoffs
- •11.2. Amdahl's Law
- •Figure 11.1. Maximum Utilization Under Amdahl's Law for Various Serialization Percentages.
- •Listing 11.1. Serialized Access to a Task Queue.
- •11.2.1. Example: Serialization Hidden in Frameworks
- •Figure 11.2. Comparing Queue Implementations.
- •11.2.2. Applying Amdahl's Law Qualitatively
- •11.3. Costs Introduced by Threads
- •11.3.1. Context Switching
- •Listing 11.2. Synchronization that has No Effect. Don't Do this.
- •11.3.2. Memory Synchronization
- •Listing 11.3. Candidate for Lock Elision.
- •11.3.3. Blocking
- •11.4. Reducing Lock Contention
- •11.4.1. Narrowing Lock Scope ("Get in, Get Out")
- •Listing 11.4. Holding a Lock Longer than Necessary.
- •Listing 11.5. Reducing Lock Duration.
- •11.4.2. Reducing Lock Granularity
- •Listing 11.6. Candidate for Lock Splitting.
- •Listing 11.7. ServerStatus Refactored to Use Split Locks.
- •11.4.3. Lock Striping
- •11.4.4. Avoiding Hot Fields
- •11.4.5. Alternatives to Exclusive Locks
- •11.4.6. Monitoring CPU Utilization
- •11.4.7. Just Say No to Object Pooling
- •11.5. Example: Comparing Map Performance
- •Figure 11.3. Comparing Scalability of Map Implementations.
- •11.6. Reducing Context Switch Overhead
- •Summary
- •Chapter 12. Testing Concurrent Programs
- •12.1. Testing for Correctness
- •Listing 12.1. Bounded Buffer Using Semaphore.
- •12.1.1. Basic Unit Tests
- •Listing 12.2. Basic Unit Tests for BoundedBuffer.
- •12.1.2. Testing Blocking Operations
- •Listing 12.3. Testing Blocking and Responsiveness to Interruption.
- •12.1.3. Testing Safety
- •Listing 12.6. Producer and Consumer Classes Used in PutTakeTest.
- •12.1.4. Testing Resource Management
- •12.1.5. Using Callbacks
- •Listing 12.7. Testing for Resource Leaks.
- •Listing 12.8. Thread Factory for Testing ThreadPoolExecutor.
- •Listing 12.9. Test Method to Verify Thread Pool Expansion.
- •12.1.6. Generating More Interleavings
- •Listing 12.10. Using Thread.yield to Generate More Interleavings.
- •12.2. Testing for Performance
- •12.2.1. Extending PutTakeTest to Add Timing
- •Figure 12.1. TimedPutTakeTest with Various Buffer Capacities.
- •12.2.2. Comparing Multiple Algorithms
- •Figure 12.2. Comparing Blocking Queue Implementations.
- •12.2.3. Measuring Responsiveness
- •12.3. Avoiding Performance Testing Pitfalls
- •12.3.1. Garbage Collection
- •12.3.2. Dynamic Compilation
- •Figure 12.5. Results Biased by Dynamic Compilation.
- •12.3.3. Unrealistic Sampling of Code Paths
- •12.3.4. Unrealistic Degrees of Contention
- •12.3.5. Dead Code Elimination
- •12.4. Complementary Testing Approaches
- •12.4.1. Code Review
- •12.4.2. Static Analysis Tools
- •12.4.4. Profilers and Monitoring Tools
- •Summary
- •Part IV: Advanced Topics
- •13.1. Lock and ReentrantLock
- •Listing 13.1. Lock Interface.
- •Listing 13.2. Guarding Object State Using ReentrantLock.
- •13.1.1. Polled and Timed Lock Acquisition
- •13.1.2. Interruptible Lock Acquisition
- •Listing 13.4. Locking with a Time Budget.
- •Listing 13.5. Interruptible Lock Acquisition.
- •13.2. Performance Considerations
- •Figure 13.1. Intrinsic Locking Versus ReentrantLock Performance on Java 5.0 and Java 6.
- •13.3. Fairness
- •13.4. Choosing Between Synchronized and ReentrantLock
- •Listing 13.6. ReadWriteLock Interface.
- •Summary
- •14.1. Managing State Dependence
- •14.1.1. Example: Propagating Precondition Failure to Callers
- •Listing 14.2. Base Class for Bounded Buffer Implementations.
- •Listing 14.3. Bounded Buffer that Balks When Preconditions are Not Met.
- •Listing 14.4. Client Logic for Calling GrumpyBoundedBuffer.
- •14.1.2. Example: Crude Blocking by Polling and Sleeping
- •Figure 14.1. Thread Oversleeping Because the Condition Became True Just After It Went to Sleep.
- •Listing 14.5. Bounded Buffer Using Crude Blocking.
- •14.1.3. Condition Queues to the Rescue
- •Listing 14.6. Bounded Buffer Using Condition Queues.
- •14.2. Using Condition Queues
- •14.2.1. The Condition Predicate
- •14.2.2. Waking Up Too Soon
- •14.2.3. Missed Signals
- •14.2.4. Notification
- •Listing 14.8. Using Conditional Notification in BoundedBuffer.put.
- •14.2.5. Example: A Gate Class
- •14.2.6. Subclass Safety Issues
- •Listing 14.9. Recloseable Gate Using Wait and Notifyall.
- •14.2.7. Encapsulating Condition Queues
- •14.2.8. Entry and Exit Protocols
- •14.3. Explicit Condition Objects
- •Listing 14.10. Condition Interface.
- •14.4. Anatomy of a Synchronizer
- •Listing 14.11. Bounded Buffer Using Explicit Condition Variables.
- •Listing 14.12. Counting Semaphore Implemented Using Lock.
- •14.5. AbstractQueuedSynchronizer
- •Listing 14.13. Canonical Forms for Acquisition and Release in AQS.
- •14.5.1. A Simple Latch
- •Listing 14.14. Binary Latch Using AbstractQueuedSynchronizer.
- •14.6. AQS in Java.util.concurrent Synchronizer Classes
- •14.6.1. ReentrantLock
- •14.6.2. Semaphore and CountDownLatch
- •Listing 14.16. tryacquireshared and tryreleaseshared from Semaphore.
- •14.6.3. FutureTask
- •14.6.4. ReentrantReadWriteLock
- •Summary
- •15.1. Disadvantages of Locking
- •15.2. Hardware Support for Concurrency
- •15.2.1. Compare and Swap
- •Listing 15.1. Simulated CAS Operation.
- •15.2.3. CAS Support in the JVM
- •15.3. Atomic Variable Classes
- •15.3.1. Atomics as "Better Volatiles"
- •Listing 15.3. Preserving Multivariable Invariants Using CAS.
- •15.3.2. Performance Comparison: Locks Versus Atomic Variables
- •Figure 15.1. Lock and AtomicInteger Performance Under High Contention.
- •Figure 15.2. Lock and AtomicInteger Performance Under Moderate Contention.
- •Listing 15.4. Random Number Generator Using ReentrantLock.
- •Listing 15.5. Random Number Generator Using AtomicInteger.
- •Figure 15.3. Queue with Two Elements in Quiescent State.
- •Figure 15.4. Queue in Intermediate State During Insertion.
- •Figure 15.5. Queue Again in Quiescent State After Insertion is Complete.
- •15.4.3. Atomic Field Updaters
- •Listing 15.8. Using Atomic Field Updaters in ConcurrentLinkedQueue.
- •15.4.4. The ABA Problem
- •Summary
- •Chapter 16. The Java Memory Model
- •16.1.1. Platform Memory Models
- •16.1.2. Reordering
- •Figure 16.1. Interleaving Showing Reordering in PossibleReordering.
- •16.1.3. The Java Memory Model in 500 Words or Less
- •Listing 16.1. Insufficiently Synchronized Program that can have Surprising Results. Don't Do this.
- •16.1.4. Piggybacking on Synchronization
- •Listing 16.2. Inner Class of FutureTask Illustrating Synchronization Piggybacking.
- •16.2. Publication
- •16.2.1. Unsafe Publication
- •Listing 16.3. Unsafe Lazy Initialization. Don't Do this.
- •16.2.2. Safe Publication
- •16.2.3. Safe Initialization Idioms
- •Listing 16.5. Eager Initialization.
- •Listing 16.6. Lazy Initialization Holder Class Idiom.
- •Listing 16.8. Initialization Safety for Immutable Objects.
- •Summary
- •Appendix A. Annotations for Concurrency
- •A.1. Class Annotations
- •A.2. Field and Method Annotations
- •Bibliography

xiv Java Concurrency In Practice
Chapters 2 (Thread Safety) and 3 (Sharing Objects) form the foundation for the book. Nearly all of the rules on avoiding concurrency hazards, constructing thread safe classes, and verifying thread safety are here. Readers who prefer
"practice" to "theory" may be tempted to skip ahead to Part II, but make sure to come back and read Chapters 2 and 3 before writing any concurrent code!
Chapter 4 (Composing Objects) covers techniques for composing thread safe classes into larger thread safe classes.
Chapter 5 (Building Blocks) covers the concurrent building blocks thread safe collections and synchronizers provided by the platform libraries.
Structuring Concurrent Applications. Part II (Chapters 6 9) describes how to exploit threads to improve the throughput or responsiveness of concurrent applications. Chapter 6 (Task Execution) covers identifying parallelizable tasks and executing them within the task execution framework. Chapter 7 (Cancellation and Shutdown) deals with techniques for convincing tasks and threads to terminate before they would normally do so; how programs deal with cancellation and shutdown is often one of the factors that separate truly robust concurrent applications from those that merely work.
Chapter 8 (Applying Thread Pools) addresses some of the more advanced features of the task execution framework.
Chapter 9 (GUI Applications) focuses on techniques for improving responsiveness in single threaded subsystems.
Liveness, Performance, and Testing. Part III (Chapters 10 12) concerns itself with ensuring that concurrent programs actually do what you want them to do and do so with acceptable performance. Chapter 10 (Avoiding Liveness Hazards) describes how to avoid liveness failures that can prevent programs from making forward progress. Chapter 11
(Performance and Scalability) covers techniques for improving the performance and scalability of concurrent code.
Chapter 12 (Testing Concurrent Programs) covers techniques for testing concurrent code for both correctness and performance.
Advanced Topics. Part IV (Chapters 13 16) covers topics that are likely to be of interest only to experienced developers:
explicit locks, atomic variables, non blocking algorithms, and developing custom synchronizers.
Code Examples
While many of the general concepts in this book are applicable to versions of Java prior to Java 5.0 and even to non Java environments, most of the code examples (and all the statements about the Java Memory Model) assume Java 5.0 or later. Some of the code examples may use library features added in Java 6.
The code examples have been compressed to reduce their size and to highlight the relevant portions. The full versions of the code examples, as well as supplementary examples and errata, are available from the book's website, http://www.javaconcurrencyinpractice.com.
The code examples are of three sorts: "good" examples, "not so good" examples, and "bad" examples. Good examples
illustrate techniques that should be emulated. Bad examples illustrate techniques that should definitely not be emulated, and are identified with a "Mr. Yuk" icon[1] to make it clear that this is "toxic" code (see Listing 1). Not so good
examples illustrate techniques that are not necessarily wrong but are fragile, risky, or perform poorly, and are decorated with a "Mr. CouldBeHappier" icon as in Listing 2.
[1] Mr. Yuk is a registered trademark of the Children's Hospital of Pittsburgh and appears by permission.
Listing 1. Bad Way to Sort a List. Don't Do this.
public <T extends Comparable<? super T>> void sort(List<T> list) { // Never returns the wrong answer!
System.exit(0);
}
Some readers may question the role of the "bad" examples in this book; after all, a book should show how to do things right, not wrong. The bad examples have two purposes. They illustrate common pitfalls, but more importantly they demonstrate how to analyze a program for thread safety and the best way to do that is to see the ways in which thread safety is compromised.

2BPreface xv
Listing 2. Less than Optimal Way to Sort a List.
public <T extends Comparable<? super T>> void sort(List<T> list) { for (int i=0; i<1000000; i++)
doNothing();
Collections.sort(list);
}
Acknowledgments
This book grew out of the development process for the java.util.concurrent package that was created by the Java
Community Process JSR 166 for inclusion in Java 5.0. Many others contributed to JSR 166; in particular we thank Martin Buchholz for doing all the work related to getting the code into the JDK, and all the readers of the concurrencyinterest mailing list who offered their suggestions and feedback on the draft APIs.
This book has been tremendously improved by the suggestions and assistance of a small army of reviewers, advisors,
cheerleaders, and armchair critics. We would like to thank Dion Almaer, Tracy Bialik, Cindy Bloch, Martin Buchholz, Paul
Christmann, Cliff Click, Stuart Halloway, David Hovemeyer, Jason Hunter, Michael Hunter, Jeremy Hylton, Heinz Kabutz,
Robert Kuhar, Ramnivas Laddad, Jared Levy, Nicole Lewis, Victor Luchangco, Jeremy Manson, Paul Martin, Berna
Massingill, Michael Maurer, Ted Neward, Kirk Pepperdine, Bill Pugh, Sam Pullara, Russ Rufer, Bill Scherer, Jeffrey Siegal,
Bruce Tate, Gil Tene, Paul Tyma, and members of the Silicon Valley Patterns Group who, through many interesting technical conversations, offered guidance and made suggestions that helped make this book better.
We are especially grateful to Cliff Biffle, Barry Hayes, Dawid Kurzyniec, Angelika Langer, Doron Rajwan, and Bill Venners, who reviewed the entire manuscript in excruciating detail, found bugs in the code examples, and suggested numerous improvements.
We thank Katrina Avery for a great copy editing job and Rosemary Simpson for producing the index under unreasonable time pressure. We thank Ami Dewar for doing the illustrations.
Thanks to the whole team at Addison Wesley who helped make this book a reality. Ann Sellers got the project launched
and Greg Doench shepherded it to a smooth completion; Elizabeth Ryan guided it through the production process.
We would also like to thank the thousands of software engineers who contributed indirectly by creating the software used to create this book, including TEX, LATEX, Adobe Acrobat, pic, grap, Adobe Illustrator, Perl, Apache Ant, IntelliJ
IDEA, GNU emacs, Subversion, TortoiseSVN, and of course, the Java platform and class libraries.

3BChapter 1 Introduction 10B1.1. A (Very) Brief History of Concurrency 1
Chapter 1ǦIntroduction
Writing correct programs is hard; writing correct concurrent programs is harder. There are simply more things that can go wrong in a concurrent program than in a sequential one. So, why do we bother with concurrency? Threads are an inescapable feature of the Java language, and they can simplify the development of complex systems by turning complicated asynchronous code into simpler straight line code. In addition, threads are the easiest way to tap the computing power of multiprocessor systems. And, as processor counts increase, exploiting concurrency effectively will only become more important.